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» Evolving Quasigroups by Genetic Algorithms
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GECCO
2006
Springer
218views Optimization» more  GECCO 2006»
14 years 25 days ago
Genetic programming with primitive recursion
When Genetic Programming is used to evolve arithmetic functions it often operates by composing them from a fixed collection of elementary operators and applying them to parameters...
Stefan Kahrs
GECCO
1999
Springer
133views Optimization» more  GECCO 1999»
14 years 1 months ago
Forecasting the MagnetoEncephaloGram (MEG) of Epileptic Patients Using Genetically Optimized Neural Networks
In this work MagnetoEncephaloGram (MEG) recordings of epileptic patients were analyzed using a hybrid neural networks training algorithm. This algorithm combines genetic algorithm...
Adam V. Adamopoulos, Efstratios F. Georgopoulos, S...
GECCO
2005
Springer
162views Optimization» more  GECCO 2005»
14 years 2 months ago
Discovering biological motifs with genetic programming
Choosing the right representation for a problem is important. In this article we introduce a linear genetic programming approach for motif discovery in protein families, and we al...
Rolv Seehuus, Amund Tveit, Ole Edsberg
TEC
2008
139views more  TEC 2008»
13 years 9 months ago
Genetic Programming Approaches for Solving Elliptic Partial Differential Equations
In this paper, we propose a technique based on genetic programming (GP) for meshfree solution of elliptic partial differential equations. We employ the least-squares collocation pr...
Andras Sobester, Prasanth B. Nair, Andy J. Keane
EUROGP
2007
Springer
175views Optimization» more  EUROGP 2007»
14 years 3 months ago
Fast Genetic Programming on GPUs
As is typical in evolutionary algorithms, fitness evaluation in GP takes the majority of the computational effort. In this paper we demonstrate the use of the Graphics Processing...
Simon Harding, Wolfgang Banzhaf